Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?
Abstract This study evaluated the potential of artificial intelligence (AI) in the diagnosis, treatment, and prognostic assessment of schizophrenia (SZ) and explored collaborative directions for AI applications in future medical innovations. SZ is a severe mental disorder that causes significant suf...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Schizophrenia |
| Online Access: | https://doi.org/10.1038/s41537-025-00583-4 |
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| _version_ | 1850185598661296128 |
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| author | Shijie Jiang Qiyu Jia Zhenlei Peng Qixuan Zhou Zhiguo An Jianhua Chen Qizhong Yi |
| author_facet | Shijie Jiang Qiyu Jia Zhenlei Peng Qixuan Zhou Zhiguo An Jianhua Chen Qizhong Yi |
| author_sort | Shijie Jiang |
| collection | DOAJ |
| description | Abstract This study evaluated the potential of artificial intelligence (AI) in the diagnosis, treatment, and prognostic assessment of schizophrenia (SZ) and explored collaborative directions for AI applications in future medical innovations. SZ is a severe mental disorder that causes significant suffering and imposes challenges on patients. With the rapid advancement of machine learning and deep learning technologies, AI has demonstrated notable advantages in the early diagnosis of high-risk populations. By integrating multidimensional biomarkers and linguistic behavior data of patients, AI can provide further objective and precise diagnostic criteria. Moreover, it aids in formulating personalized treatment plans, enhancing therapeutic outcomes, and offering new therapeutic strategies for patients with treatment-resistant SZ. Furthermore, AI excels in developing individualized prognostic plans, which enables the rapid identification of disease progression, accurate prediction of disease trajectory, and timely adjustment of treatment strategies, thereby improving prognosis and facilitating recovery. Despite the immense potential of AI in SZ management, its role as an auxiliary tool must be emphasized, with clinical judgment and compassionate care from healthcare professionals remaining crucial. Future research should focus on optimizing human–machine interactions to achieve efficient AI application in SZ management. The in-depth integration of AI technology into clinical practice will advance the field of SZ, ultimately improving the quality of life and treatment outcomes of patients. |
| format | Article |
| id | doaj-art-cecade8680df4f1c96f9bc20b85f2429 |
| institution | OA Journals |
| issn | 2754-6993 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Schizophrenia |
| spelling | doaj-art-cecade8680df4f1c96f9bc20b85f24292025-08-20T02:16:40ZengNature PortfolioSchizophrenia2754-69932025-02-0111111610.1038/s41537-025-00583-4Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?Shijie Jiang0Qiyu Jia1Zhenlei Peng2Qixuan Zhou3Zhiguo An4Jianhua Chen5Qizhong Yi6Department of Medical Psychology, the first Affiliated Hospital of Xinjiang Medical University, Xinjiang Clinical Research Center for Mental HealthDepartment of Trauma Orthopaedics, The First Affiliated Hospital of Xinjiang Medical UniversityDepartment of Medical Psychology, the first Affiliated Hospital of Xinjiang Medical University, Xinjiang Clinical Research Center for Mental HealthDepartment of Medical Psychology, the first Affiliated Hospital of Xinjiang Medical University, Xinjiang Clinical Research Center for Mental HealthDepartment of Medical Psychology, the first Affiliated Hospital of Xinjiang Medical University, Xinjiang Clinical Research Center for Mental HealthShanghai Institute of Traditional Chinese Medicine for Mental Health, Shanghai Jiao Tong University School of MedicineDepartment of Medical Psychology, the first Affiliated Hospital of Xinjiang Medical University, Xinjiang Clinical Research Center for Mental HealthAbstract This study evaluated the potential of artificial intelligence (AI) in the diagnosis, treatment, and prognostic assessment of schizophrenia (SZ) and explored collaborative directions for AI applications in future medical innovations. SZ is a severe mental disorder that causes significant suffering and imposes challenges on patients. With the rapid advancement of machine learning and deep learning technologies, AI has demonstrated notable advantages in the early diagnosis of high-risk populations. By integrating multidimensional biomarkers and linguistic behavior data of patients, AI can provide further objective and precise diagnostic criteria. Moreover, it aids in formulating personalized treatment plans, enhancing therapeutic outcomes, and offering new therapeutic strategies for patients with treatment-resistant SZ. Furthermore, AI excels in developing individualized prognostic plans, which enables the rapid identification of disease progression, accurate prediction of disease trajectory, and timely adjustment of treatment strategies, thereby improving prognosis and facilitating recovery. Despite the immense potential of AI in SZ management, its role as an auxiliary tool must be emphasized, with clinical judgment and compassionate care from healthcare professionals remaining crucial. Future research should focus on optimizing human–machine interactions to achieve efficient AI application in SZ management. The in-depth integration of AI technology into clinical practice will advance the field of SZ, ultimately improving the quality of life and treatment outcomes of patients.https://doi.org/10.1038/s41537-025-00583-4 |
| spellingShingle | Shijie Jiang Qiyu Jia Zhenlei Peng Qixuan Zhou Zhiguo An Jianhua Chen Qizhong Yi Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? Schizophrenia |
| title | Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? |
| title_full | Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? |
| title_fullStr | Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? |
| title_full_unstemmed | Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? |
| title_short | Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? |
| title_sort | can artificial intelligence be the future solution to the enormous challenges and suffering caused by schizophrenia |
| url | https://doi.org/10.1038/s41537-025-00583-4 |
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